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Technology
Feelingstream 2019 in review

How to get customer insights and prepare for sales in 2020 – a year in review

This week the Estonian Government AI top-level meetup Kratitreff presented insights from AI-related pilot projects in governmental organisations (read more here). The main challenges relate to missing hypothesis, unrealistic targets or inadequate project teams during the POC-s or trials. We at Feelingstream share this view. Therefore, I would like to share the experience we had...
Finnish speech-to-text ASR model - Feelingstream

Finnish speech-to-text (ASR) solution detects leads from conversations

Lately, we have been developing our own Finnish speech-to-text model and now it’s ready! We’ve designed the Finnish speech-to-text model to help large companies detect business-critical patterns from existing phone calls, such as sales leads, quality leaks, unhappy and leaving customers. Analysing phone calls helps sales managers to find new sales leads (upsell and win-back leads) from...
Jobs-Feelingstream-FiBAN

Feelingstream raises 400.000 EUR to find lost opportunities in customer communication

We are proud to announce that we received 400 000 EUR in investment from FiBAN business angels and Gorilla Capital to expand our growth in the Nordic market.We are incredibly excited to be selected as a top startup among strong candidates at Nordic Angel Program (NAP). The investment will be key in helping us deliver...
Why analyse customer service chats

Why should you analyse your customer service chats?

Chat or chatbot is becoming an increasingly important communication tool between a company and a customer. Emails are more old-fashioned and people don’t have the patience to wait in long call queues. Those customer service channels do have their place as well, but chat is the new hot option. With chatbots, customers can get the...
Customer feedback text analysis can improve your customer experience

Customer feedback text analysis can improve your customer experience

We have previously talked about how to improve customer service by handling your contacts smarter. For example, read our article about how to handle emails more efficiently. In this post, we focus on customer feedback. We share a couple of use cases how text analysis of customer feedback can help you improve the customer experience...
service personalisation for a quality experience

Service personalisation – offering your customers a quality experience

Would you be happy when you call the customer service of a company and the agent would greet you by your name? If the customer service representative would know your history and could assist you quickly? Do you want companies to send you personalised offers based on your past with them? Of course! Service personalisation...
automated crm notes for visibility

Automated CRM notes for making every customer service call visible

One of the most common ways how customers can reach out to a company is by calling them. Most large companies have service centres to handle the load of incoming calls. It could be thousands of incoming calls every day, each request containing lots of valuable information – about the call topics, customer opinions, hints...
fast service - the future of our lives

Fast service – the future of our lives

Do you want to get a tailor-made marketing message from your service provider? Do you enjoy fast package delivery? Would you expect to get an offer exactly when you are looking for utility service or regular grocery shopping? Sure you do! Feelingstream conducted a survey last week in the Level 11 event for innovation leaders...
Text analysis Feelingstream

How can text analysis of emails improve your customer service?

When thinking about customer service, we all know that emails are a very big part of daily conversations with customers. It seems easy for the customer to send an email and wait for a reply. Several things can make this process not as smooth as expected. If no text analysis is done and everything is...

AI Could Add $6 Trillion to the Global Economy

In this week’s post we are going to look at the latest Mckinsey Report Notes from the AI Frontier: Applications and value of deep learning. Within the report they state that the use of AI could add between $3.5 and $5.8 trillion to the global economy. But, what else did they predict? How does it compare to...
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